where \(n_{\rm DNS}\)  is the amount of the reference DNS data and \(n_{\rm flip}\)  is the number of overall training snapshots obtained through data flipping, respectively.
Note that users have to care ergodicity depending on the target dataset and flipping axis [1]}, i.e., the statistical features of flipped data and original DNS data are common with each other in this particular example.
